A collaboration between the University of Edinburgh and Imperial College London has used a dual-view oblique plane ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Dividing patients into groups based on how they behave towards their condition can aid understanding of the issues that affect them and improve outcomes, such as quality of life in long-term ...

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...

A reverse image search can give you more info about any picture you see online, and you can do it right on your iPhone. Here's how. Open Safari and head to Google Images. Start your search adventure ...

Abstract: Vision foundation models have shown great potential in improving generalizability and data efficiency, especially for medical image segmentation since medical image datasets are relatively ...

Abstract: Superpixel segmentation algorithms are predominently based on simple linear iterative clustering (SLIC), and treat homogeneous and complex regions equally. This can lead to suboptimal ...

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